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Wednesday, June 26 • 12:00 - 12:20
AI informs, humans choose -- or do they?

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The first expert systems were aimed at informing people so they made better decisions and depended less on hard-to-find-harder-to-pay human specialists. Now, however, with the increasing refinement of techniques, hidden layers, and ubiquity of complex systems, results are often applied as they come. Humans are not good at making decisions under risk, and in Machine Learning applications they often don't even know they're taking a rough probability as an inexorable result. So, how may we design systems that help humans make choices with healthy doses of skepticism?

avatar for Bianca Ximenes

Bianca Ximenes

Independent consultant / Doctoral Student, Tecnora / UFPE
Bianca is a Google Expert on Product Strategy, Currently, as a Doctoral Student in Computer Science at UFPE, her work approaches human-machine boundaries and ethical repercussions of AI and ML on digital products.She enjoys reading, writing, and talking about human-AI coexistence... Read More →

Wednesday June 26, 2019 12:00 - 12:20 GMT-03
Room 8 Av. Rebouças, 3970 - Pinheiros, São Paulo - SP, 05402-600, Brazil